This paper presents an Internet of Things (IoT)-enabled dependable control system (DepCS) for continuous processes. In a DepCS, an actuator and a transmitter form a regulatory control loop. Each processor inside such actuator and transmitter is designed as a computational platform implementing the feedback control algorithm. The connections between actuators and transmitters via IoT create a reliable backbone for a DepCS. The centralized input-output marshaling system is not required in DepCSs. A state feedback control synthesis method for DepCS applying the self-recovery constraint is presented in the second part of the paper.

en_US

dc.format

Print-Electronic

en_US

dc.language

eng

en_US

dc.relation.ispartof

ISA transactions

en_US

dc.relation.isbasedon

10.1016/j.isatra.2015.08.008

en_US

dc.subject.classification

Industrial Engineering & Automation

en_US

dc.title

Dependable control systems with Internet of Things.

en_US

dc.type

Journal Article

utslib.description.version

Published

en_US

utslib.citation.volume

59

en_US

utslib.for

0910 Manufacturing Engineering

en_US

utslib.for

0906 Electrical And Electronic Engineering

en_US

utslib.for

0910 Manufacturing Engineering

en_US

utslib.for

0906 Electrical And Electronic Engineering

en_US

pubs.embargo.period

Not known

en_US

pubs.organisational-group

/University of Technology Sydney

pubs.organisational-group

/University of Technology Sydney/Faculty of Engineering and Information Technology

pubs.organisational-group

/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering

This paper presents an Internet of Things (IoT)-enabled dependable control system (DepCS) for continuous processes. In a DepCS, an actuator and a transmitter form a regulatory control loop. Each processor inside such actuator and transmitter is designed as a computational platform implementing the feedback control algorithm. The connections between actuators and transmitters via IoT create a reliable backbone for a DepCS. The centralized input-output marshaling system is not required in DepCSs. A state feedback control synthesis method for DepCS applying the self-recovery constraint is presented in the second part of the paper.

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